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Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)|December 18, 2018
Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible?Zhixi Li, Stuart Keel, Chi Liu, et al.
Ophthalmology|March 7, 2018
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus PhotographsZhixi Li, Yifan He, Stuart Keel, et al.
Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)|July 23, 2020
Deployment of Artificial Intelligence in Real-World Practice: Opportunity and ChallengeMingguang He, Zhixi Li, Chi Liu, et al.
Scientific Reports|March 14, 2018
Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot studyStuart Keel, Pei Ying Lee, Jane Scheetz, et al.
Clinical & Experimental Ophthalmology|June 20, 2019
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographsStuart Keel, Zhixi Li, Jane Scheetz, et al.
Clinical & Experimental Ophthalmology|October 28, 2018
Incidence and correction of vision impairment among elderly population in southern urban ChinaXiaotong Han, Chimei Liao, Chi Liu, et al.
The British Journal of Ophthalmology|January 26, 2018
Prevalence and incidence of presbyopia in urban Southern ChinaXiaotong Han, Pei Ying Lee, Stuart Keel, et al.
Plos One|September 20, 2019
A self-adaptive deep learning method for automated eye laterality detection based on color fundus photographyChi Liu, Xiaotong Han, Zhixi Li, et al.
Diabetes Care|October 3, 2018
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus PhotographsZhixi Li, Stuart Keel, Chi Liu, et al.
JAMA Ophthalmology|October 20, 2017
Association of Socioeconomics With Prevalence of Visual Impairment and BlindnessWei Wang, William Yan, Andreas Müller, et al.
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